AI Medical Compendium

Predicting the usage of seasonal drugs by utilizing advanced machine learning: An albuterol case study.

Research in social & administrative pharmacy : RSAP Feb 4, 2026

Manual forecasting of seasonal medication demand results in inefficiencies and labor burden. With the advancement of machine learning, there is an opportunity to develop a machine learning model that can predict the expected usage of medication for t... read more

A novel ECG QRS complex detection algorithm based on dynamic Bayesian network.

Artificial intelligence in medicine Feb 4, 2026

Accurate detection of the QRS complex, a crucial reference for heartbeat localization in electrocardiogram (ECG) signals, remains inadequate in wearable ECG devices due to complex noise interference. In this study, we propose a novel QRS complex dete... read more

Pioneering the future: Delivering the first digitally generated CMC post-approval change dossier to global regulators simultaneously.

Journal of pharmaceutical sciences Feb 4, 2026

As medicinal products and their manufacturing processes evolve, biopharmaceutical companies must continuously manage, document, and submit post-approval chemistry, manufacturing, and controls (CMC) changes to global health authorities. Traditionally,... read more

Iatrogenic plasticizer Di(2-ethylhexyl) phthalate (DEHP) exposure increases Sepsis mortality risk: Machine learning implicates monocyte-driven immune dysregulation.

Toxicology and applied pharmacology Feb 4, 2026

Sepsis poses a significant global health burden, and ICU patients are disproportionately exposed to di(2-ethylhexyl) phthalate (DEHP), an immunotoxic plasticizer that leaches from PVC medical devices; however, whether this exposure causally influence... read more

Dual-kingdom necrobiome succession extends postmortem interval estimation into skeletonization.

Forensic science international. Genetics Feb 4, 2026

Forensic estimation of the postmortem interval (PMI) becomes increasingly challenging when decomposition progresses beyond the initial weeks, as traditional medicolegal indicators lose their temporal precision. Here, we demonstrate that dual-kingdom ... read more

Driving factors and predictive model of dissolved N2O concentrations in a complex aquatic network.

Environmental research Feb 4, 2026

Inland water networks, comprising hydrologically integrated rivers, agricultural ditches, and aquaculture ponds, are significant N2O sources, yet their complexity impedes accurate quantification. Here we developed an integrated framework combining st... read more

Impacts of delayed influenza vaccination on clinical outcomes in ICU-admitted patients with influenza: A retrospective cohort study.

Virus research Feb 4, 2026

BACKGROUND: Influenza vaccination is an effective measure for reducing the risk of severe influenza infection. However, the task of achieving adequate vaccination rates remains a global challenge. It is unclear whether delayed influenza vaccination i... read more

Correspondence on "Artificial intelligence as a surgical advisor before a DIEP breast reconstruction. A blinded comparative study of three large language models".

JPRAS open Feb 4, 2026

Biological aging across the metabolic dysfunction-associated steatotic liver disease spectrum: A systematic review.

iLIVER Feb 4, 2026

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health burden. Geroscience posits that accelerated biological aging is a key driver of chronic disease. We systematically reviewed the evidence ... read more

Development and validation of a fentanyl quantification model for drug checking services.

Drug and alcohol dependence reports Feb 4, 2026

BACKGROUND: Drug checking services are becoming increasingly popular. Despite the significant variability in fentanyl concentrations observed in the unregulated opioid supply, quantifying fentanyl concentrations using community drug checking technolo... read more

Artificial Intelligence Medical Compendium